Ciliates learn to diagnose and correct classical error syndromes in mating strategies
Ciliates learn to diagnose and correct classical error syndromes in mating strategies
复制标题
纤毛虫学习诊断和纠正交配策略中的经典错误综合症
作者：
K. Clark
婚前纤毛虫学习经典的重复纠错代码，以保护交配信息和回复免受“竞争对手”和当地环境噪音的破坏。由于单个细胞表现为具有Szilárd引擎属性的记忆通道，因此这些编码方案也可用于限制、诊断和纠正由于细胞内信息处理噪声而导致的配对信号错误。因此，本研究评估了在模拟细胞-细胞通信过程中，异质性纤毛虫是否会通过改变引擎性能来影响容错信号的规划和执行，从而影响编码的熵含量。从一个模糊的人工来源发出的具有社会意义的连续振动，启动了已知的用不同求爱策略宣传交配适应性的纤毛虫行为信号表演。微生物利用依赖钙的赫比式决策，通过“动力”或“制冷”循环，在信号规划和执行阶段之间递归地匹配玻尔兹曼熵，学会诊断并纠正错误综合征。8个序列收缩和反转策略在处理的执行阶段均产生熵值误差。然而，绝对误差在3位应答中包含单个比特翻转错误的预期阈值，表明编码方案在整个信号产生过程中保护了信息内容。在模态和非模态策略校正周期中，纤毛虫对振动的准备选择性地显著影响Szilárd发动机性能的幅度和效价。但所有答案的熵保真度主要是通过学习试验提高的，因为改进了引擎效率。只有在弹性3位重复纠错序列中编码的模态信号，保真度接近最大值。总之，这些发现表明微生物可以通过学习在社会环境中实现经典的容错信息处理来提高生存/繁殖成功率。
Preconjugal ciliates learn classical repetition error-correction codes to safeguard mating messages and replies from corruption by “rivals” and local ambient noise. Because individual cells behave as memory channels with Szilárd engine attributes, these coding schemes also might be used to limit, diagnose, and correct mating-signal errors due to noisy intracellular information processing. The present study, therefore, assessed whether heterotrich ciliates effect fault-tolerant signal planning and execution by modifying engine performance, and consequently entropy content of codes, during mock cell–cell communication. Socially meaningful serial vibrations emitted from an ambiguous artificial source initiated ciliate behavioral signaling performances known to advertise mating fitness with varying courtship strategies. Microbes, employing calcium-dependent Hebbian-like decision making, learned to diagnose then correct error syndromes by recursively matching Boltzmann entropies between signal planning and execution stages via “power” or “refrigeration” cycles. All eight serial contraction and reversal strategies incurred errors in entropy magnitude by the execution stage of processing. Absolute errors, however, subtended expected threshold values for single bit-flip errors in three-bit replies, indicating coding schemes protected information content throughout signal production. Ciliate preparedness for vibrations selectively and significantly affected the magnitude and valence of Szilárd engine performance during modal and non-modal strategy corrective cycles. But entropy fidelity for all replies mainly improved across learning trials as refinements in engine efficiency. Fidelity neared maximum levels for only modal signals coded in resilient three-bit repetition error-correction sequences. Together, these findings demonstrate microbes can elevate survival/reproductive success by learning to implement classical fault-tolerant information processing in social contexts.
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影响因子：
--
作者：
Y. Saimi;Boris Martinac;Robin R. Preston;Zhou Xl;Sergei Sukharev;Paul Blount;Ching Kung
通讯作者：
Y. Saimi;Boris Martinac;Robin R. Preston;Zhou Xl;Sergei Sukharev;Paul Blount;Ching Kung
嗜热四膜虫中纤毛麻痹和胞质分裂受阻的条件突变体通过细胞质交换得以挽救。
影响因子：
3.3
作者：
Pennock,DG;Thatcher,T;Bowen,J;Bruns,PJ;Gorovsky,MA
通讯作者：
Gorovsky,MA
DOI：
10.1073/pnas.96.11.6060
发表时间：
1999-05-25
影响因子：
11.1
作者：
Dawson, SP;Keizer, J;Pearson, JE
通讯作者：
Pearson, JE
影响因子：
64.8
作者：
Butler, Geraldine;Rasmussen, Matthew D.;Lin, Michael F.;Santos, Manuel A. S.;Sakthikumar, Sharadha;Munro, Carol A.;Rheinbay, Esther;Grabherr, Manfred;Forche, Anja;Reedy, Jennifer L.;Agrafioti, Ino;Arnaud, Martha B.;Bates, Steven;Brown, Alistair J. P.;Brunke, Sascha;Costanzo, Maria C.;Fitzpatrick, David A.;de Groot, Piet W. J.;Harris, David;Hoyer, Lois L.;Hube, Bernhard;Klis, Frans M.;Kodira, Chinnappa;Lennard, Nicola;Logue, Mary E.;Martin, Ronny;Neiman, Aaron M.;Nikolaou, Elissavet;Quail, Michael A.;Quinn, Janet;Santos, Maria C.;Schmitzberger, Florian F.;Sherlock, Gavin;Shah, Prachi;Silverstein, Kevin A. T.;Skrzypek, Marek S.;Soll, David;Staggs, Rodney;Stansfield, Ian;Stumpf, Michael P. H.;Sudbery, Peter E.;Srikantha, Thyagarajan;Zeng, Qiandong;Berman, Judith;Berriman, Matthew;Heitman, Joseph;Gow, Neil A. R.;Lorenz, Michael C.;Birren, Bruce W.;Kellis, Manolis;Cuomo, Christina A.
通讯作者：
Cuomo, Christina A.